Lake detection algorithm in point clouds of the lidar image based on three-dimensional convolutional neural network

An algorithm for detecting lakes in a point cloud of a lidar image based on a three-dimensional convolutional neural network is proposed. The contours of the lakes were extracted from the point clouds of the lidar image and their geometric characteristics were determined using the chain code algorit...

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Bibliographic Details
Main Author: Xu Shanshan
Format: Article
Language:English
Published: Belarusian National Technical University 2022-06-01
Series:Системный анализ и прикладная информатика
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Online Access:https://sapi.bntu.by/jour/article/view/546
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Summary:An algorithm for detecting lakes in a point cloud of a lidar image based on a three-dimensional convolutional neural network is proposed. The contours of the lakes were extracted from the point clouds of the lidar image and their geometric characteristics were determined using the chain code algorithm. The accuracy of the proposed algorithm for identifying lakes from clouds of laser scanning points was 96.34%. The proposed algorithm can calculate and analyze information about the shape of lakes.
ISSN:2309-4923
2414-0481